Rock mass classification techniques and parameters: a review

A Qazi, K Singh - Journal of Mining and Environment, 2023 - jme.shahroodut.ac.ir
The rock mass classification system is utilized to categorize rocks, and has been used in
engineering projects and stability investigations. It focuses on the parameters of rock mass …

Directional rock mass rating (DRMR) for anisotropic rock mass characterization

V Maazallahi, A Majdi - Bulletin of Engineering Geology and the …, 2021 - Springer
Rock mass classification systems are used to categorize and estimate the role of the most
significant parameters influencing rock mass behavior to represent an equivalent continuum …

Assessment of strength of individual ballast aggregate by conducting point load test and establishment of classification method

M Koohmishi - International Journal of Rock Mechanics and Mining …, 2021 - Elsevier
Railway ballast course is comprised of crushed coarse aggregate in which the strength of
individual particles plays an important function against degradation. Conventionally, the …

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

J Ma, T Li, X Li, S Zhou, C Ma, D Wei, K Dai - Scientific Reports, 2022 - nature.com
The classification of surrounding rock quality is critical for the dynamic construction and
design of tunnels. However, obtaining complete parameters for predicting the surrounding …

[HTML][HTML] Determination of Integrity Index Kv in CHN-BQ Method by BP Neural Network Based on Fractal Dimension D

Q Zhang, Y Shen, Y Pei, X Wang, M Wang, J Lai - Fractal and Fractional, 2023 - mdpi.com
The integrity index Kv is the quantitative index in the CHN-BQ method, which can be
determined by the acoustic wave test, volume joint number Jv, or empirical judgment …

[HTML][HTML] Rock mass classification method applying neural networks to minimize geomechanical characterization in underground Peruvian mines

J Brousset, H Pehovaz, G Quispe, C Raymundo… - Energy Reports, 2023 - Elsevier
This research aims to enhance the classification of the rock mass in underground mining, a
common problem due to geological alterations that do not fit existing methods. Artificial …

[HTML][HTML] Rock characterization, UAV photogrammetry and use of algorithms of machine learning as tools in map** discontinuities and characterizing rock masses in …

A Pola, A Herrera-Díaz, SR Tinoco-Martínez… - Bulletin of Engineering …, 2024 - Springer
The use of UAV represents a very useful tool for rock mass characterization, particularly in
large, unsafe, and not accessible areas characterized by a complex geometry. This …

RDNN for classification and prediction of Rock/Mine in underwater acoustics

JB Siddhartha, T Jaya, V Rajendran - Materials Today: Proceedings, 2023 - Elsevier
The detection of minerals (mines) or rocks would have been extremely difficult without the
expansion of the Sound Navigation Ranging methodology, which uses specific parameters …

Intelligent prediction of tunnel surrounding rock advance classification in high altitude and high seismic intensity area and its engineering application

R Zhao, S Shi, S Li, J Lu, Y Xue, T Zhang - Bulletin of Engineering Geology …, 2025 - Springer
In order to improve and optimize the advance classification and prediction method of tunnel
surrounding rock, a prediction method based on Tunnel Seismic Prediction (TSP) and …

A quantitative method for the determination of rock fragmentation based on crack density and crack saturation

Y **ao, H Deng, J Li, M Zhou, E Assefa, X Chen - Scientific Reports, 2023 - nature.com
Rock mechanics tests are essential for advancing theoretical and practical knowledge in the
field. The rock failure mechanism can be studied by analyzing the failure characteristics of …